'British Machine Vision Association and Society for Pattern Recognition'
Abstract
The main goal of this work was to evaluate several well-known methods which provide global (BSI and
SIENA) or local (Jacobian integration) estimates of atrophy in brain structures using Magnetic Resonance images.
For that purpose, we have generated realistic simulated Alzheimer's disease images in which volume changes are
modelled with a Finite Element thermoelastic model, which mimic the patterns of change obtained from a cohort of
19 real controls and 27 probable Alzheimer's disease patients. SIENA and BSI results correlate very well with gold standard data (BSI mean absolute error <0.29%; SIENA <0.44%). Jacobian integration was guided by both fluid
and FFD-based registration techniques and resulting deformation fields and associated Jacobians were compared,
region by region, with gold standard ones. The FFD registration technique provided more satisfactory results than the fluid one. Mean absolute error differences between volume changes given by the FFD-based technique and the
gold standard were: sulcal CSF <2.49%; lateral ventricles 2.25%; brain <0.36%; hippocampi <0.42%
